xAI, proprietary

# Grok 4.20 (Non-Reasoning)

> Grok 4.20 (Non-Reasoning) by xAI, released February 2026. Ranked #54 of 354 with a Noometry Index of 48.6. API: $1.25 in / $2.50 out per M tokens. 1M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/grok-4-20
- Last updated: 2026-10-10
- Title: Grok 4.20 (Non-Reasoning) Benchmarks, Price & Rank (October 2026)

Grok 4.20 (Non-Reasoning) by xAI ranks 54th of 354 ranked models on the Noometry Index as of October 2026, with a score of 48.6. Its strongest category is reasoning, where it ranks 32nd. API pricing starts at $1.25 per million input tokens and $2.50 per million output tokens, with a 1M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #54 of 354
- **Index score:** 48.6
- **Evidence:** Confirmed 46 results
- **Provider:** [xAI](https://noometry.com/providers/xai)
- **Released:** February 17, 2026
- **Weights:** Proprietary
- **Reasoning:** No
- **Context window:** 1M
- **Max output:** 30K
- **Input price:** $1.25 / M
- **Output price:** $2.50 / M
- **Blended price:** $1.56 / M
- **Output speed:** 61 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** #132 of 219
- **Knowledge cutoff:** September 2025
- **Input:** text, image, pdf

## Category scores

Each category score combines every public result we have in that category.

Grok 4.20 (Non-Reasoning) category scores

1.  Coding 42.1
2.  Agentic & Tool Use 34.4
3.  Reasoning 52.3
4.  Math 48.2
5.  Knowledge 52.8
6.  Multimodal 33.3
7.  Multilingual 54.5
8.  Instruction Following 74.8
9.  Long Context 45.5
10.  Writing & Preference 65.7
11.  020406080

Grok 4.20 (Non-Reasoning) category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 42.1 | #112 | 3 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 34.4 | #46 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 52.3 | #32 | 9 |
| [Math](https://noometry.com/best/math) | 48.2 | #65 | 5 |
| [Knowledge](https://noometry.com/best/knowledge) | 52.8 | #60 | 3 |
| [Multimodal](https://noometry.com/best/multimodal) | 33.3 | #98 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 54.5 | #40 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.8 | #83 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 45.5 | #34 | 3 |
| [Writing & Preference](https://noometry.com/best/writing) | 65.7 | #44 | 4 |

## Strengths and weaknesses

Categories where Grok 4.20 (Non-Reasoning) places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Grok 4.20 (Non-Reasoning): strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 52.3 | +28.7 | #32 of 350, top 10% |
| [Long Context](https://noometry.com/best/long-context) | 45.5 | +4.5 | #34 of 296, top 12% |
| [Multilingual](https://noometry.com/best/multilingual) | 54.5 | +7.1 | #40 of 297, top 14% |

### Weakest categories

Grok 4.20 (Non-Reasoning): weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multimodal](https://noometry.com/best/multimodal) | 33.3 | −5.3 | #98 of 128, top 77% |
| [Coding](https://noometry.com/best/coding) | 42.1 | +3.3 | #112 of 340, top 33% |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 34.4 | +4.1 | #46 of 154, top 30% |

## Closest competitors

The models ranked just above and below Grok 4.20 (Non-Reasoning). When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Grok 4.20 (Non-Reasoning)
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | #50 | 50.3 | $6 | — | [Compare](https://noometry.com/compare/claude-sonnet-4-6-vs-grok-4-20) |
| [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) | #51 | 49.9 | $2 | — | [Compare](https://noometry.com/compare/grok-4-20-vs-muse-spark-1-1) |
| [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | #52 | 49.5 | $0.20 | — | [Compare](https://noometry.com/compare/claude-haiku-5-5-vs-grok-4-20) |
| [GPT-5.1](https://noometry.com/models/gpt-5-1) | #53 | 49.0 | $3.44 | — | [Compare](https://noometry.com/compare/gpt-5-1-vs-grok-4-20) |
| [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | #55 | 48.5 | $0.18 | — | [Compare](https://noometry.com/compare/grok-4-20-vs-mimo-v2-6-flash) |
| [Grok 4](https://noometry.com/models/grok-4) | #56 | 48.1 | — | 1 | [Compare](https://noometry.com/compare/grok-4-vs-grok-4-20) |
| [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | #57 | 48.1 | $0.90 | 66 | [Compare](https://noometry.com/compare/grok-4-20-vs-kimi-k2-5) |
| [Step 5 Preview](https://noometry.com/models/step-5-preview) | #58 | 47.9 | $1.43 | — | [Compare](https://noometry.com/compare/grok-4-20-vs-step-5-preview) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Grok 4.20 (Non-Reasoning) Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1375 | #80 of 113, top 71% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 52.3% | #46 of 119, top 39% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1459 | #73 of 294, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1447 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 1,150 | #37 of 105, top 36% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

Grok 4.20 (Non-Reasoning) Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench) | 57.3% | #14 of 41, top 35% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [τ²-bench Banking](https://noometry.com/benchmarks/tau2-banking) | 18% | #21 of 26, top 81% | high | [τ²-bench](https://taubench.com/) | 2026-05-05 |
| [LMArena Search](https://noometry.com/benchmarks/arena-search) | 1189 | #18 of 32, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/search) | 2026-08-24 |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | 4,663 | #32 of 60, top 54% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Grok 4.20 (Non-Reasoning) Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 65.1% | #24 of 83, top 29% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 44.8% |  |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 75% | #13 of 99, top 14% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 83.7% |  |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 7.6% |  |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 85.4% | #27 of 91, top 30% | reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 89.5% | #27 of 83, top 33% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 24% | #46 of 129, top 36% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [Thematic Generalization](https://noometry.com/benchmarks/thematic-generalization) | 63.8% | #10 of 23, top 44% | reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/generalization) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1451 | #59 of 297, top 20% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1441 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 90.1% | #39 of 151, top 26% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 38.7% | #49 of 125, top 40% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 151.98 | #45 of 213, top 22% |  | [Epoch AI](https://epoch.ai/eci) | 2026-02-17 |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 60.7 |  |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [ForecastBench](https://noometry.com/benchmarks/forecastbench) | 61.4 | #11 of 72, top 16% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Math

Grok 4.20 (Non-Reasoning) Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 44.9% | #51 of 81, top 63% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 17.1% | #46 of 63, top 74% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 92.2% | #45 of 173, top 27% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 14% | #59 of 77, top 77% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1433 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1455 | #57 of 285, top 20% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Grok 4.20 (Non-Reasoning) Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 89.3% | #44 of 186, top 24% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-07-13 |
| [SimpleQA Verified](https://noometry.com/benchmarks/simpleqa-verified) | 30.2% | #58 of 77, top 76% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-27 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1428 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1439 | #87 of 273, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Grok 4.20 (Non-Reasoning) Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1263 | #45 of 122, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [Blueprint-Bench 2](https://noometry.com/benchmarks/blueprint-bench-2) | 0% | #30 of 31, top 97% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1416 | #33 of 38, top 87% |  | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

Grok 4.20 (Non-Reasoning) Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1441 | #40 of 297, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1433 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1481 | #63 of 285, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1476 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1476 | #30 of 223, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1455 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1440 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1465 | #32 of 231, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1415 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1449 | #26 of 211, top 13% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1417 | #37 of 213, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1416 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1458 | #35 of 283, top 13% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1450 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1438 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1443 | #62 of 226, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Grok 4.20 (Non-Reasoning) Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1420 | #73 of 298, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1415 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Grok 4.20 (Non-Reasoning) Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CL-bench](https://noometry.com/benchmarks/cl-bench) | 22.2% | #3 of 19, top 16% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CL-bench Life](https://noometry.com/benchmarks/cl-bench-life) | 11.9% | #9 of 13, top 70% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1427 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1437 | #70 of 291, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Grok 4.20 (Non-Reasoning) Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1451 | #43 of 297, top 15% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1445 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1438 | #41 of 295, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1432 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1574 | #47 of 115, top 41% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1456 | #45 of 295, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1451 |  |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Grok 4.20 (Non-Reasoning) API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [azure](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) | $2 | $6 | — | 2026-10-10 |
| [openrouter](https://openrouter.ai/x-ai/grok-4.20) | $1.25 | $2.50 | $0.20 | 2026-10-10 |
| [vertex](https://cloud.google.com/vertex-ai/generative-ai/docs/models) | $1.25 | $2.50 | $0.20 | 2026-10-10 |
| [xai](https://docs.x.ai/docs/models) | $1.25 | $2.50 | $0.20 | 2026-10-10 |

[All xAI API prices →](https://noometry.com/llm-pricing/xai) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Grok 4.20 (Non-Reasoning)

-   [Grok 4.20 (Non-Reasoning) vs GPT-5.1](https://noometry.com/compare/gpt-5-1-vs-grok-4-20)
-   [Grok 4.20 (Non-Reasoning) vs MiMo-V2.6-Flash](https://noometry.com/compare/grok-4-20-vs-mimo-v2-6-flash)
-   [Grok 4.20 (Non-Reasoning) vs Claude Haiku 5.5](https://noometry.com/compare/claude-haiku-5-5-vs-grok-4-20)
-   [Grok 4.20 (Non-Reasoning) vs Grok 4](https://noometry.com/compare/grok-4-vs-grok-4-20)
-   [Grok 4.20 (Non-Reasoning) vs Muse Spark 1.1](https://noometry.com/compare/grok-4-20-vs-muse-spark-1-1)
-   [Grok 4.20 (Non-Reasoning) vs Kimi K2.5](https://noometry.com/compare/grok-4-20-vs-kimi-k2-5)
-   [Grok 4.20 (Non-Reasoning) vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-grok-4-20)
-   [Grok 4.20 (Non-Reasoning) vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-grok-4-20)
-   [Grok 4.20 (Non-Reasoning) vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-grok-4-20)
-   [Grok 4.20 (Non-Reasoning) vs Kimi K3](https://noometry.com/compare/grok-4-20-vs-kimi-k3)
-   [Grok 4.20 (Non-Reasoning) vs Qwen3.8 Max](https://noometry.com/compare/grok-4-20-vs-qwen3-8-max)
-   [Grok 4.20 (Non-Reasoning) vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-grok-4-20)
-   [Grok 4.20 (Non-Reasoning) vs Muse Spark 1.3](https://noometry.com/compare/grok-4-20-vs-muse-spark-1-3)
-   [Grok 4.20 (Non-Reasoning) vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-grok-4-20)

## Other xAI models

-   [Grok 4.6](https://noometry.com/models/grok-4-6)56.9
-   [Grok 4.5](https://noometry.com/models/grok-4-5)55.0
-   [Grok 4.7](https://noometry.com/models/grok-4-7)53.1
-   [Grok 4](https://noometry.com/models/grok-4)48.1
-   [Grok 4.20 Multi-Agent](https://noometry.com/models/grok-4-20-multi-agent)46.2
-   [Grok 4.3](https://noometry.com/models/grok-4-3)43.8
-   [Grok 4.1](https://noometry.com/models/grok-4-1)41.5
-   [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast)41.4

## Frequently asked questions

### How good is Grok 4.20 (Non-Reasoning)?

Grok 4.20 (Non-Reasoning) by xAI ranks 54th of 354 ranked models on the Noometry Index as of October 2026, with a score of 48.6. Its strongest category is reasoning, where it ranks 32nd. API pricing starts at $1.25 per million input tokens and $2.50 per million output tokens, with a 1M-token context window.

### How much does Grok 4.20 (Non-Reasoning) cost?

Grok 4.20 (Non-Reasoning) costs $1.25 per million input tokens and $2.50 per million output tokens on xAI's own API, with cached input at $0.20.

### What is Grok 4.20 (Non-Reasoning)'s context window?

Grok 4.20 (Non-Reasoning) accepts up to 1M tokens of input and can write up to 30K tokens in one response.

### Is Grok 4.20 (Non-Reasoning) open source?

No. Grok 4.20 (Non-Reasoning) is proprietary and available only through xAI's API and partner platforms.

### How fast is Grok 4.20 (Non-Reasoning)?

Grok 4.20 (Non-Reasoning) generated about 61 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are Grok 4.20 (Non-Reasoning)'s strengths and weaknesses?

Relative to other ranked models, Grok 4.20 (Non-Reasoning) places best in reasoning, long context, multilingual and lowest in multimodal, coding, agentic & tool use.

### What is Grok 4.20 (Non-Reasoning) best at?

Its best category is reasoning, where it ranks 32nd on Noometry.

### Cite this page

Noometry. (2026). Grok 4.20 (Non-Reasoning) benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/grok-4-20

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